Correlates of depressive mood among graduate-level allied health students: An exploratory study examining trait energy and fatigue

References

• McNair DM, Lorr M, Heuchert JWP, Droppleman LF. Profile of Mood States-Brief Form. North Tonawanda Multi-Health Syst; 2003.
   Google Scholar
• Cuijpers P, de Graaf R, van Dorsselaer S. Minor depression: risk profiles, functional disability, health care use and risk of developing major depression. J Affect Disord. 2004;79(1–3):71–79. doi:10.1016/S0165-0327(02)00348-8.
   PubMed Web of Science ®Google Scholar
• Horwath E, Johnson J, Klerman GL, Weissman MM. Depressive symptoms as relative and attributable risk factors for first-onset major depression. Arch Gen Psychiatry. 1992;49(10):817–823. doi:10.1001/archpsyc.1992.01820100061011.
   PubMed Web of Science ®Google Scholar
• Association AP. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). Arlington, VA: American Psychiatric Pub; 2013.
   Google Scholar
• Curran SL, Andrykowski MA, Studts JL. Short form of the Profile of Mood States (POMS-SF): psychometric information. Psychol Assess. 1995;7(1):80–83. doi:10.1037/1040-3590.7.1.80.
   Web of Science ®Google Scholar
• Rucci P, Gherardi S, Tansella M, et al. Subthreshold psychiatric disorders in primary care: prevalence and associated characteristics. J Affect Disord. 2003;76(1–3):171–181. doi:10.1016/S0165-0327(02)00087-3.
   PubMed Web of Science ®Google Scholar
• Chachamovich E, Fleck M, Laidlaw K, Power M. Impact of major depression and subsyndromal symptoms on quality of life and attitudes toward aging in an international sample of older adults. Gerontologist. 2008;48(5):593–602. doi:10.1093/geront/48.5.593.
   PubMed Web of Science ®Google Scholar
• Goldney RD, Fisher LJ, Dal Grande E, Taylor AW. Subsyndromal depression: prevalence, use of health services and quality of life in an Australian population. Soc Psychiatry Psychiatr Epidemiol. 2004;39(4):293–298. doi:10.1007/s00127-004-0745-5.
   PubMed Web of Science ®Google Scholar
• Cuijpers P, Smit F, Oostenbrink J, De Graaf R, Ten Have M, Beekman A . Economic costs of minor depression: a population-based study. Acta Psychiatr Scand. 2007;115(3):229–236. doi:10.1111/j.1600-0447.2006.00851.x.
   PubMed Web of Science ®Google Scholar
• Cuijpers P, Vogelzangs N, Twisk J, Kleiboer A, Li J, Penninx BW. Differential mortality rates in major and subthreshold depression: meta-analysis of studies that measured both. Br J Psychiatry. 2013;202(1):22–27. doi:10.1192/bjp.bp.112.112169.
   PubMed Web of Science ®Google Scholar
• van Zoonen K, Buntrock C, Ebert DD, et al. Preventing the onset of major depressive disorder: a meta-analytic review of psychological interventions. Int J Epidemiol. 2014;43(2):318–329. doi:10.1093/ije/dyt175.
   PubMed Web of Science ®Google Scholar
• Kessler RC, Sampson NA, Berglund P, et al. Anxious and non-anxious major depressive disorder in the World Health Organization World Mental Health Surveys. Epidemiol Psychiatr Sci. 2015;24(3):210–226. doi:10.1017/S2045796015000189.
   PubMed Web of Science ®Google Scholar
• Ferrari AJ, Somerville AJ, Baxter AJ, et al. Global variation in the prevalence and incidence of major depressive disorder: a systematic review of the epidemiological literature. Psychol Med. 2013;43(3):471–481. doi:10.1017/S0033291712001511.
   PubMed Web of Science ®Google Scholar
• Birnbaum HG, Kessler RC, Kelley D, et al. Employer burden of mild, moderate, and severe major depressive disorder: mental health services utilization and costs, and work performance. Depress Anxiety. 2010;27(1):78–89. doi:10.1002/da.20580.
   PubMed Web of Science ®Google Scholar
• Halfin A. Depression: the benefits of early and appropriate treatment. Am J Manag Care. 2007;13(4 Suppl):S92–S97.
   PubMed Web of Science ®Google Scholar
• Henry JD, Crawford JR . The short-form version of the Depression Anxiety Stress Scales (DASS-21): construct validity and normative data in a large non-clinical sample. Br J Clin Psychol. 2005;44(Part 2):227–239. doi:10.1348/014466505X29657.
   PubMedGoogle Scholar
• Radloff LS, The CES. D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385–401. doi:10.1177/014662167700100306.
   Web of Science ®Google Scholar
• Beck AT, Steer RA, Brown GK. Manual for Beck Depression inventory-II. San Antonio, TX: Psychological Corporation; 1996.
   Google Scholar
• Hardeveld F, Spijker J, De Graaf R, Nolen WA, Beekman ATF. Prevalence and predictors of recurrence of major depressive disorder in the adult population. Acta Psychiatr Scand. 2010;122(3):184–191. doi:10.1111/j.1600-0447.2009.01519.x.
   PubMed Web of Science ®Google Scholar
• Lai JS, Hiles S, Bisquera A, Hure AJ, McEvoy M, Attia J. A systematic review and meta-analysis of dietary patterns and depression in community-dwelling adults. Am J Clin Nutr. 2014;99(1):181–197. doi:10.3945/ajcn.113.069880.
   PubMed Web of Science ®Google Scholar
• Sánchez-Villegas A, Toledo E, de Irala J, Ruiz-Canela M, Pla-Vidal J, Martínez-González MA. Fast-food and commercial baked goods consumption and the risk of depression. Public Health Nutr. 2012;15(3):424–432. doi:10.1017/S1368980011001856.
   PubMed Web of Science ®Google Scholar
• Liu C, Xie B, Chou C-P, et al. Perceived stress, depression and food consumption frequency in the college students of China Seven Cities. Physiol Behav. 2007;92(4):748–754. doi:10.1016/j.physbeh.2007.05.068.
   PubMed Web of Science ®Google Scholar
• Grosso G, Micek A, Castellano S, Pajak A, Galvano F . Coffee, tea, caffeine and risk of depression: a systematic review and dose-response meta-analysis of observational studies. Mol Nutr Food Res. 2016;60(1):223–234. doi:10.1002/mnfr.201500620.
   PubMed Web of Science ®Google Scholar
• Wang L, Shen X, Wu Y, Zhang D. Coffee and caffeine consumption and depression: a meta-analysis of observational studies. Aust NZ J Psychiatry. 2016;50(3):228–242. doi:10.1177/0004867415603131.
   PubMed Web of Science ®Google Scholar
• Schuch FB, Vancampfort D, Richards J, Rosenbaum S, Ward PB, Stubbs B. Exercise as a treatment for depression: a meta-analysis adjusting for publication bias. J Psychiatr Res. 2016;77:42–51. doi:10.1016/j.jpsychires.2016.02.023.
   PubMed Web of Science ®Google Scholar
• Schuch F, Vancampfort D, Firth J, et al. Physical activity and sedentary behavior in people with major depressive disorder: a systematic review and meta-analysis. J Affect Disord. 2017;210:139–150. doi:10.1016/j.jad.2016.10.050.
   PubMed Web of Science ®Google Scholar
• Zhai L, Zhang Y, Zhang D. Sedentary behaviour and the risk of depression: a meta-analysis. Br J Sports Med. 2015;49(11):705–709. doi:10.1136/bjsports-2014-093613.
   PubMed Web of Science ®Google Scholar
• Lovato N, Gradisar M. A meta-analysis and model of the relationship between sleep and depression in adolescents: recommendations for future research and clinical practice. Sleep Med Rev. 2014;18(6):521–529. doi:10.1016/j.smrv.2014.03.006.
   PubMed Web of Science ®Google Scholar
• Pillai V, Kalmbach DA, Ciesla JA. A meta-analysis of electroencephalographic sleep in depression: evidence for genetic biomarkers. Biol Psychiatry. 2011;70(10):912–919. doi:10.1016/j.biopsych.2011.07.016.
   PubMed Web of Science ®Google Scholar
• Zhai L, Zhang H, Zhang D . Sleep duration and depression among adults: a meta-analysis of prospective studies. Depress Anxiety. 2015;32(9):664–670. doi:10.1002/da.22386.
   PubMed Web of Science ®Google Scholar
• Sparks K, Cooper C, Fried Y, Shirom A. The effects of hours of work on health: a meta-analytic review. J Occup Organ Psychol. 1997;70(4):391–408. doi:10.1111/j.2044-8325.1997.tb00656.x.
   Web of Science ®Google Scholar
• Bonde JPE. Psychosocial factors at work and risk of depression: a systematic review of the epidemiological evidence. Occup Environ Med. 2008;65(7):438–445.
   PubMed Web of Science ®Google Scholar
• Siegrist J. Chronic psychosocial stress at work and risk of depression: evidence from prospective studies. Eur Arch Psychiatry Clin Neurosci. 2008;258(Suppl 5):115–119. doi:10.1007/s00406-008-5024-0.
   PubMed Web of Science ®Google Scholar
• Morrison KM, Shin S, Tarnopolsky M, Taylor VH. Association of depression & health related quality of life with body composition in children and youth with obesity. J Affect Disord. 2015;172:18–23. doi:10.1016/j.jad.2014.09.014.
   PubMed Web of Science ®Google Scholar
• Cugini P, Cilli M, Salandri A, et al. Anxiety, depression, hunger and body composition. III. Their relationships in obese patients. Eat Weight Disord. 1999;4(3):115–120. doi:10.1007/BF03339726.
   PubMedGoogle Scholar
• Bansal Y, Kuhad A. Mitochondrial dysfunction in depression. Curr Neuropharmacol. 2016;14(6):610–618. doi:10.2174/1570159x14666160229114755.
   PubMed Web of Science ®Google Scholar
• Tobe EH. Mitochondrial dysfunction, oxidative stress, and major depressive disorder. Neuropsychiatr Dis Treat. 2013;9:567–573.
   PubMed Web of Science ®Google Scholar
• Gardner A, Johansson A, Wibom R, et al. Alterations of mitochondrial function and correlations with personality traits in selected major depressive disorder patients. J Affect Disord. 2003;76(1–3):55–68. doi:10.1016/S0165-0327(02)00067-8.
   PubMed Web of Science ®Google Scholar
• Snyder HR. Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review. Psychol Bull. 2013;139(1):81–132. doi:10.1037/a0028727.
   PubMed Web of Science ®Google Scholar
• McDermott LM, Ebmeier KP. A meta-analysis of depression severity and cognitive function. J Affect Disord. 2009;119(1–3):1–8. doi:10.1016/j.jad.2009.04.022.
   PubMed Web of Science ®Google Scholar
• Mahurin RK, Velligan DI, Hazleton B, Mark Davis J, Eckert S, Miller AL. Trail making test errors and executive function in schizophrenia and depression. Clin Neuropsychol. 2006;20(2):271–288. doi:10.1080/13854040590947498.
   PubMed Web of Science ®Google Scholar
• Moritz S, Birkner C, Kloss M, et al. Executive functioning in obsessive–compulsive disorder, unipolar depression, and schizophrenia. Arch Clin Neuropsychol. 2002;17(5):477–483.
   PubMed Web of Science ®Google Scholar
• Gohier B, Ferracci L, Surguladze SA, et al. Cognitive inhibition and working memory in unipolar depression. J Affect Disord. 2009;116(1–2):100–105. doi:10.1016/j.jad.2008.10.028.
   PubMed Web of Science ®Google Scholar
• Ravnkilde B, Videbech P, Clemmensen K, Egander A, Rasmussen NA, Rosenberg R. Cognitive deficits in major depression. Scand J Psychol. 2002;43(3):239–251. doi:10.1111/1467-9450.00292.
   PubMed Web of Science ®Google Scholar
• Cole DA, Nolen-Hoeksema S, Girgus J, Paul G. Stress exposure and stress generation in child and adolescent depression: a latent trait-state-error approach to longitudinal analyses. J Abnorm Psychol. 2006;115(1):40–51. doi:10.1037/0021-843X.115.1.40.
   PubMed Web of Science ®Google Scholar
• Blesch KS, Paice JA, Wickham R, et al. Correlates of fatigue in people with breast or lung cancer. Oncol Nurs Forum. 1991;18:81–87.
   PubMedGoogle Scholar
• Hayes JR. Depression and chronic fatigue in cancer patients. Prim Care. 1991;18(2):327–339.
   PubMed Web of Science ®Google Scholar
• Akechi T, Kugaya A, Okamura H, Yamawaki S, Uchitomi Y. Fatigue and its associated factors in ambulatory cancer patients: a preliminary study. J Pain Symptom Manage. 1999;17(1):42–48. doi:10.1016/s0885-3924(98)00105-5.
   PubMed Web of Science ®Google Scholar
• Aass N, Fosså SD, Dahl AA, Aloe TJ. Prevalence of anxiety and depression in cancer patients seen at the Norwegian Radium Hospital. Eur J Cancer. 1997;33(10):1597–1604. doi:10.1016/S0959-8049(97)00054-3.
   PubMed Web of Science ®Google Scholar
• Glaus A. Assessment of fatigue in cancer and non-cancer patients and in healthy individuals. Support Care Cancer. 1993;1(6):305–315. doi:10.1007/BF00364968.
   PubMed Web of Science ®Google Scholar
• Reuter K, Härter M. The concepts of fatigue and depression in cancer. Eur J Cancer Care (Engl). 2004;13(2):127–134. doi:10.1111/j.1365-2354.2003.00464.x.
   PubMed Web of Science ®Google Scholar
• Nozaki S, Tanaka M, Mizuno K, et al. Mental and physical fatigue-related biochemical alterations. Nutrition. 2009;25(1):51–57. doi:10.1016/j.nut.2008.07.010.
   PubMed Web of Science ®Google Scholar
• Loy BD, Cameron MH, O’Connor PJ. Perceived fatigue and energy are independent unipolar states: supporting evidence. Med Hypotheses. 2018;113:46–51. doi:10.1016/j.mehy.2018.02.014.
   PubMed Web of Science ®Google Scholar
• Boolani A, Manierre M. An exploratory multivariate study examining correlates of trait mental and physical fatigue and energy. Fatigue Biomed Health Behav. 2019;7(1):29–40.
   Web of Science ®Google Scholar
• Boolani A, O’Connor PJ, Reid J, Ma S, Mondal S. Predictors of feelings of energy differ from predictors of fatigue. Fatigue Biomed Health Behav. 2019;7(1):12–28.
   Web of Science ®Google Scholar
• Dupree EJ, Goodwin A, Darie CC, Boolani A. A pilot exploratory proteomics investigation of mental fatigue and mental energy. Adv Mass Biomed Res. 2019;1140:601–611.
   Google Scholar
• Boolani A, Sur S, Yang D, Avolio A, Goodwin A, Mondal S. Six minutes of physical activity improves mood in older adults: a pilot study. J Geriatr Phys Ther. 2021;44(1):18–24.
   PubMed Web of Science ®Google Scholar
• Manierre M, Jansen E, Boolani A. Sleep quality and sex modify the relationships between trait energy and fatigue on state energy and fatigue. PLoS One. 2020;15(1):e0227511. doi:10.1371/journal.pone.0227511.
   PubMed Web of Science ®Google Scholar
• Boolani A, Ryan J, Vo T, et al. Do changes in mental energy and fatigue impact functional assessments associated with fall risks? An exploratory study using machine learning. Phys Occup Ther Geriatr .2020;38(3):1–19.
   Web of Science ®Google Scholar
• Smetaniuk T, Johnson D, Creurer J, et al. Physical activity and sedentary behaviour of master of physical therapy students: an exploratory study of facilitators and barriers. Physiother Can. 2017;69(3):260–270. doi:10.3138/ptc.2015-76EP.
   PubMed Web of Science ®Google Scholar
• Jacob T, Gummesson C, Nordmark E, El-Ansary D, Remedios RL ,Webb G. Perceived stress and sources of stress among physiotherapy students from 3 countries. J Phys Ther Educ. 2012;26(3):57–65.
   Google Scholar
• Pfeifer TA, Kranz PL, Scoggin AE. Perceived stress in occupational therapy students. Occup Ther Int. 2008;15(4):221–231. doi:10.1002/oti.256.
   PubMedGoogle Scholar
• Hernandez MB, Blavo C, Hardigan PC, Perez AM, Hage K. Differences in perceived stress, depression, and medical symptoms among medical, nursing, and physician assistant students: a latent class analysis. Ann Behav Sci Med Educ. 2010;16(1):35–39. doi:10.1007/BF03355116.
   Google Scholar
• Lund HG, Reider BD, Whiting AB, Prichard JR. Sleep patterns and predictors of disturbed sleep in a large population of college students. J Adolesc Health. 2010;46(2):124–132. doi:10.1016/j.jadohealth.2009.06.016.
   PubMed Web of Science ®Google Scholar
• Dyrbye LN, Thomas MR, Shanafelt TD. Systematic review of depression, anxiety, and other indicators of psychological distress among US and Canadian medical students. Acad Med. 2006;81(4):354–373.
   PubMed Web of Science ®Google Scholar
• Boolani A, Schelly D, Reid J, Towler C, Smith ML, Ohl A. Health differences in didactic versus clinical stage graduate allied health students. J Allied Health 2018;47(4):282–288.
   PubMedGoogle Scholar
• Harris S, Dawson-Hughes B. Seasonal mood changes in 250 normal women. Psychiatry Res. 1993;49(1):77–87. doi:10.1016/0165-1781(93)90031-b.
   PubMed Web of Science ®Google Scholar
• Buysse DJ, Reynolds IIC, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. doi:10.1016/0165-1781(89)90047-4.
   PubMed Web of Science ®Google Scholar
• O’Connor P. Mental and Physical State and Trait Energy and Fatigue Scales. Athens, GA: University of Georgia; 2006.
   Google Scholar
• Boolani A, Lindheimer JB, Loy BD, Crozier S, O’Connor PJ. Acute effects of brewed cocoa consumption on attention, motivation to perform cognitive work and feelings of anxiety, energy and fatigue: a randomized, placebo-controlled crossover experiment. BMC Nutr. 2017;3(1):8. doi:10.1186/s40795-016-0117-z.
   Google Scholar
• Maridakis V, Herring MP, O’Connor PJ. Sensitivity to change in cognitive performance and mood measures of energy and fatigue in response to differing doses of caffeine or breakfast. Int J Neurosci. 2009;119(7):975–994. doi:10.1080/00207450802333995.
   PubMed Web of Science ®Google Scholar
• Maridakis V, O’Connor PJ, Tomporowski PD. Sensitivity to change in cognitive performance and mood measures of energy and fatigue in response to morning caffeine alone or in combination with carbohydrate. Int J Neurosci. 2009;119(8):1239–1258. doi:10.1080/00207450802333987.
   PubMed Web of Science ®Google Scholar
• Graziose MM, Piehowski KE, Shlisky JD, Nickols-Richardson SM. Relative validity of foot-to-foot BIA (Tanita TBF-410GS) vs DXA in a weight-loss trial of overweight and obese women. Int J Body Compos Res. 2012;10(4):101–106.
   Google Scholar
• Segal-Isaacson CJ, Wylie-Rosett J, Gans KM. Validation of a short dietary assessment questionnaire: the Rapid Eating and Activity Assessment for Participants short version (REAP-S). Diabetes Educ. 2004;30(5):774–781. doi:10.1177/014572170403000512.
   PubMed Web of Science ®Google Scholar
• Gans KM, Risica PM, Wylie-Rosett J, et al. Development and evaluation of the nutrition component of the Rapid Eating and Activity Assessment for Patients (REAP): a new tool for primary care providers. J Nutr Educ Behav. 2006;38(5):286–292. doi:10.1016/j.jneb.2005.12.002.
   PubMed Web of Science ®Google Scholar
• Preston J, O’Neal JH, Talaga MC. Handbook of Clinical Psychopharmacology for Therapists. New Harbinger Publications; 2010.
   Google Scholar
• Dinger MK, Behrens TK, Han JL. Validity and reliability of the International Physical Activity Questionnaire in college students. Am J Health Educ. 2006;37(6):337–343. doi:10.1080/19325037.2006.10598924.
   Google Scholar
• Pate RR, Pratt M, Blair SN, et al . Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. Jama. 1995;273(5):402–407. doi:10.1001/jama.273.5.402.
   PubMed Web of Science ®Google Scholar
• group I. IPAQ scoring protocol. 2004.
   Google Scholar
• Reitan RM. Validity of the Trail Making Test as an indicator of organic brain damage. Percept Mot Skills. 1958;8(3):271–276. doi:10.2466/pms.1958.8.3.271.
   Google Scholar
• Strauss E, Sherman EM, Spreen O. A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary. American Chemical Society; 2006.
   Google Scholar
• Borges NR, Driller MW. Wearable lactate threshold predicting device is valid and reliable in runners. J Strength Cond Res. 2016;30(8):2212–2218. doi:10.1519/JSC.0000000000001307.
   PubMed Web of Science ®Google Scholar
• Peake J, Kerr GK, Sullivan JP. A critical review of consumer wearables, mobile applications and equipment for providing biofeedback, monitoring stress and sleep in physically active populations. Front Physiol . 2018;9:743.
   PubMed Web of Science ®Google Scholar
• Neter J, Kutner MH, Nachtsheim CJ, Wasserman W. Applied Linear Statistical Models. Vol. 4. Chicago: Irwin; 1996.
   Google Scholar
• Cohen J. A power primer. Psychol Bull. 1992;112(1):155–159. doi:10.1037/0033-2909.112.1.155.
   PubMed Web of Science ®Google Scholar
• Bennett AA, Bakker AB, Field JG. Recovery from work-related effort: a meta-analysis. J Organ Behav. 2018;39(3):262–275. doi:10.1002/job.2217.
   Web of Science ®Google Scholar
• Kumar N, Wheaton LA, Snow TK, Millard-Stafford M. Exercise and caffeine improve sustained attention following fatigue independent of fitness status. Fatigue Biomed Health Behav. 2015;3(2):104–121. doi:10.1080/21641846.2015.1027553.
   Web of Science ®Google Scholar
• Duncan MJ, Taylor S, Lyons M. The effect of caffeine ingestion on field hockey skill performance following physical fatigue. Res Sports Med. 2012;20(1):25–36. doi:10.1080/15438627.2012.634686.
   PubMed Web of Science ®Google Scholar
• Mumford PW, Tribby AC, Poole CN, et al. Effect of caffeine on golf performance and fatigue during a competitive tournament. Med Sci Sports Exerc. 2016;48(1):132–138.
   PubMed Web of Science ®Google Scholar
• Baghurst T, Bounds E, Boolani A, Betts N. Comparison between perceived and actual physical activity of physical education teacher education students. Rev PhénEPSPHEnex J. 2018;9(3):1–13.
   Google Scholar